
'''simple docstring'''

import random







def 	A  (   UpperCamelCase_       :  int   )       ->							bool:







			'''simple docstring'''



			lowerCAmelCase__										=				num - 1
			lowerCAmelCase__										=				0

			while s % 2 == 0:
						lowerCAmelCase__										=				s // 2
						t += 1

			for _ in range(5   ):
						lowerCAmelCase__										=				random.randrange(2    ,						num - 1   )
						lowerCAmelCase__										=				pow(UpperCamelCase_    ,						UpperCamelCase_    ,						UpperCamelCase_   )
						if v != 1:
									lowerCAmelCase__										=				0
									while v != (num - 1):
												if i == t - 1:
															return False
												else:
															lowerCAmelCase__										=				i + 1
															lowerCAmelCase__										=				(v**2) % num
			return True







def 	A  (   UpperCamelCase_       :  int   )       ->							bool:







			'''simple docstring'''



			if num < 2:
						return False

			lowerCAmelCase__										=				[
			    2,
			    3,
			    5,
			    7,
			    11,
			    13,
			    17,
			    19,
			    23,
			    29,
			    31,
			    37,
			    41,
			    43,
			    47,
			    53,
			    59,
			    61,
			    67,
			    71,
			    73,
			    79,
			    83,
			    89,
			    97,
			    1_01,
			    1_03,
			    1_07,
			    1_09,
			    1_13,
			    1_27,
			    1_31,
			    1_37,
			    1_39,
			    1_49,
			    1_51,
			    1_57,
			    1_63,
			    1_67,
			    1_73,
			    1_79,
			    1_81,
			    1_91,
			    1_93,
			    1_97,
			    1_99,
			    2_11,
			    2_23,
			    2_27,
			    2_29,
			    2_33,
			    2_39,
			    2_41,
			    2_51,
			    2_57,
			    2_63,
			    2_69,
			    2_71,
			    2_77,
			    2_81,
			    2_83,
			    2_93,
			    3_07,
			    3_11,
			    3_13,
			    3_17,
			    3_31,
			    3_37,
			    3_47,
			    3_49,
			    3_53,
			    3_59,
			    3_67,
			    3_73,
			    3_79,
			    3_83,
			    3_89,
			    3_97,
			    4_01,
			    4_09,
			    4_19,
			    4_21,
			    4_31,
			    4_33,
			    4_39,
			    4_43,
			    4_49,
			    4_57,
			    4_61,
			    4_63,
			    4_67,
			    4_79,
			    4_87,
			    4_91,
			    4_99,
			    5_03,
			    5_09,
			    5_21,
			    5_23,
			    5_41,
			    5_47,
			    5_57,
			    5_63,
			    5_69,
			    5_71,
			    5_77,
			    5_87,
			    5_93,
			    5_99,
			    6_01,
			    6_07,
			    6_13,
			    6_17,
			    6_19,
			    6_31,
			    6_41,
			    6_43,
			    6_47,
			    6_53,
			    6_59,
			    6_61,
			    6_73,
			    6_77,
			    6_83,
			    6_91,
			    7_01,
			    7_09,
			    7_19,
			    7_27,
			    7_33,
			    7_39,
			    7_43,
			    7_51,
			    7_57,
			    7_61,
			    7_69,
			    7_73,
			    7_87,
			    7_97,
			    8_09,
			    8_11,
			    8_21,
			    8_23,
			    8_27,
			    8_29,
			    8_39,
			    8_53,
			    8_57,
			    8_59,
			    8_63,
			    8_77,
			    8_81,
			    8_83,
			    8_87,
			    9_07,
			    9_11,
			    9_19,
			    9_29,
			    9_37,
			    9_41,
			    9_47,
			    9_53,
			    9_67,
			    9_71,
			    9_77,
			    9_83,
			    9_91,
			    9_97,
			]

			if num in low_primes:
						return True

			for prime in low_primes:
						if (num % prime) == 0:
									return False

			return rabin_miller(UpperCamelCase_   )







def 	A  (   UpperCamelCase_       :  int = 10_24   )       ->							int:







			'''simple docstring'''



			while True:
						lowerCAmelCase__										=				random.randrange(2 ** (keysize - 1)    ,						2 ** (keysize)   )
						if is_prime_low_num(UpperCamelCase_   ):
									return num


if __name__ == "__main__":
		UpperCAmelCase__ :			Union[str, Any]											=		generate_large_prime()
		print(("Prime number:", num))
		print(("is_prime_low_num:", is_prime_low_num(num)))







# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import argparse
import os
import subprocess

from packaging.version import Version, parse

from accelerate.commands.config.config_args import default_config_file, load_config_from_file


lowercase    :   List[Any]						=			'Run commands across TPU VMs for initial setup before running `accelerate launch`.'




def       _SCREAMING_SNAKE_CASE   (						_lowerCamelCase					:     Union[str, Any]=None)   ->       List[str]:






							'''simple docstring'''





							if subparsers is not None:
														__UpperCamelCase      :  int       =   subparsers.add_parser("tpu-config"		,    description=_description)
							else:
														__UpperCamelCase      :  Dict       =   argparse.ArgumentParser("Accelerate tpu-config command"		,    description=_description)
							# Core arguments
							__UpperCamelCase      :  Optional[Any]       =   parser.add_argument_group(
							    "Config Arguments"		,    "Arguments that can be configured through `accelerate config`.")
							config_args.add_argument(
							    "--config_file"		,    type=_lowerCamelCase		,    default=_lowerCamelCase		,    help="Path to the config file to use for accelerate."		,    )
							config_args.add_argument(
							    "--tpu_name"		,    default=_lowerCamelCase		,    help="The name of the TPU to use. If not specified, will use the TPU specified in the config file."		,    )
							config_args.add_argument(
							    "--tpu_zone"		,    default=_lowerCamelCase		,    help="The zone of the TPU to use. If not specified, will use the zone specified in the config file."		,    )
							__UpperCamelCase      :  Tuple       =   parser.add_argument_group("TPU Arguments"		,    "Arguments for options ran inside the TPU.")
							pod_args.add_argument(
							    "--use_alpha"		,    action="store_true"		,    help="Whether to use `gcloud alpha` when running the TPU training script instead of `gcloud`."		,    )
							pod_args.add_argument(
							    "--command_file"		,    default=_lowerCamelCase		,    help="The path to the file containing the commands to run on the pod on startup."		,    )
							pod_args.add_argument(
							    "--command"		,    action="append"		,    nargs="+"		,    help="A command to run on the pod. Can be passed multiple times."		,    )
							pod_args.add_argument(
							    "--install_accelerate"		,    action="store_true"		,    help="Whether to install accelerate on the pod. Defaults to False."		,    )
							pod_args.add_argument(
							    "--accelerate_version"		,    default="latest"		,    help="The version of accelerate to install on the pod. If not specified, will use the latest pypi version. Specify 'dev' to install from GitHub."		,    )
							pod_args.add_argument(
							    "--debug"		,    action="store_true"		,    help="If set, will print the command that would be run instead of running it.")

							if subparsers is not None:
														parser.set_defaults(func=_lowerCamelCase)
							return parser




def       _SCREAMING_SNAKE_CASE   (						_lowerCamelCase					:     List[Any])   ->       Dict:






							'''simple docstring'''





							__UpperCamelCase      :  List[str]       =   None

							# Get the default from the config file if it exists.
							if args.config_file is not None or os.path.isfile(_lowerCamelCase):
														__UpperCamelCase      :  Dict       =   load_config_from_file(args.config_file)
														if not args.command_file and defaults.command_file is not None and not args.command:
																					__UpperCamelCase      :  List[Any]       =   defaults.command_file
														if not args.command and defaults.commands is not None:
																					__UpperCamelCase      :  int       =   defaults.commands
														if not args.tpu_name:
																					__UpperCamelCase      :  int       =   defaults.tpu_name
														if not args.tpu_zone:
																					__UpperCamelCase      :  Optional[Any]       =   defaults.tpu_zone
							if args.accelerate_version == "dev":
														__UpperCamelCase      :  List[str]       =   "git+https://github.com/huggingface/accelerate.git"
							elif args.accelerate_version == "latest":
														__UpperCamelCase      :  Optional[int]       =   "accelerate -U"
							elif isinstance(parse(args.accelerate_version)		,    _lowerCamelCase):
														__UpperCamelCase      :  Union[str, Any]       =   F'accelerate=={args.accelerate_version}'

							if not args.command_file and not args.command:
														raise ValueError("You must specify either a command file or a command to run on the pod.")

							if args.command_file:
														with open(args.command_file		,    "r") as f:
																					__UpperCamelCase      :  List[Any]       =   [f.read().splitlines()]

    # To turn list of lists into list of strings
							if isinstance(args.command[0]		,    _lowerCamelCase):
														__UpperCamelCase      :  Union[str, Any]       =   [line for cmd in args.command for line in cmd]
							# Default to the shared folder and install accelerate
							__UpperCamelCase      :  str       =   ["cd /usr/share"]
							if args.install_accelerate:
														new_cmd += [F'pip install {args.accelerate_version}']
							new_cmd += args.command
							__UpperCamelCase      :  str       =   "; ".join(_lowerCamelCase)

							# Then send it to gcloud
							# Eventually try to use google-api-core to do this instead of subprocess
							__UpperCamelCase      :  List[Any]       =   ["gcloud"]
							if args.use_alpha:
														cmd += ["alpha"]
							cmd += [
							    "compute",
							    "tpus",
							    "tpu-vm",
							    "ssh",
							    args.tpu_name,
							    "--zone",
							    args.tpu_zone,
							    "--command",
							    args.command,
							    "--worker",
							    "all",
							]
							if args.debug:
														print(F'Running {" ".join(_lowerCamelCase)}')
														return
							subprocess.run(_lowerCamelCase)
							print("Successfully setup pod.")




def       _SCREAMING_SNAKE_CASE   (						)   ->       List[Any]:






							'''simple docstring'''





							__UpperCamelCase      :  Optional[Any]       =   tpu_command_parser()
							__UpperCamelCase      :  Optional[Any]       =   parser.parse_args()

							tpu_command_launcher(_lowerCamelCase)